All of the tasks that AI accomplishes require a certain amount of memory, computational power, and time. We have a good enough understanding of the human brain to measure the same quantities used for the same tasks. Thus, we can measure the difference between what minds and machines require to solve the same problem. Read More ›

Because creativity is unique to humans and irreducible, all human beings have the ability in principle. The fact that a particular human being’s creativity is not in use or is perhaps unusable at present does not mean that that person does not have the ability. Consequently, all humans have at least latent intrinsic instrumental value. Read More ›

Because Moore's law is an exponential law, the numbers multiply rapidly and we could hit the physical limit rather suddenly. Current indications are that Moore’s law’s speed has already slowed or even ceased to be a true description of the IT industry today. Read More ›

Dropping a handful of toothpicks on the table seems to produce a different sort of pattern than spelling out a word with toothpicks. Surprisingly, this intuitive distinction is harder to make in math and the sciences. Algorithmic specified complexity (ASC) enables us to distinguish them. Read More ›

We've all seen this sort of argument before in many other guises. It is commonly called “reductionism.” The reductionist claims that, because an object can be construed as made up of parts, the object is just the parts. It is like saying that because an article like this one is constructed from letters of the alphabet, the article is only rows of letters. Read More ›

A common objection to Bartlett’s idea is that humans cannot be halting oracles because we embed any unsolvable math problem as the halting condition for a loop and a human cannot tell us whether the loop will halt or not. This objection misses the fact that there is a range of oracles between plain Turing machines and a complete halting oracle. Read More ›

Intelligent design theory is sometimes said to lack any practical application. One straightforward application is that, because intelligence can create information and computation cannot, human interaction will improve computational performance. Read More ›

Because the law of independence conservation states that no combination of randomness and determinism can create mutual information, then likewise no Turing machine nor artificial intelligence can create mutual information. Thus, the goal of artificial intelligence researchers to reproduce human intelligence with a computer program is impossible to achieve. Read More ›

The king’s perpetual innovation machine was all ready to roll but then a skeptic butted in

Eric Holloway

August 15, 2018

Computers can never originate, they only regurgitate. Humans, on the other hand, can come up with original ideas, i.e. they write the programs in the first place. So, my proof shows that the human mind cannot be a computer program. Read More ›

Mind Matters is a podcast and website featuring original news and analysis at the intersection of artificial and natural intelligence. It explores issues, challenges, and controversies relating to human and artificial intelligence from a perspective that values the unique capabilities of human beings. Mind Matters is published by the Walter Bradley Center for Natural and Artificial Intelligence.